OFDM_rece_matlab

Krylov subspace作为一种迭代方法，在求解非线性方程组方面发挥巨大作用，这个ppt和大家分享(Krlov subspace method)

Simulink files: · HeaterTest.mdl Heater test model in Simulink(Requires HdataM) · TSKHeater.mdl Heater control using TSK alg(Requires HdataM,HdataF,HdataTd) · MamdaniTest.mdl Simple Mamdani test model(Requires Mdata) · Mamdani9Test.mdl 9 rule Mamdani test model(Requires Mdata) · Mamdani25Test.mdl" 25 rule Mamdani test model(Requires Mdata25) · EngineTest.mdl Vehicle engine test model in Simulink(Requires VdataM,VdataC) · MamdaniVehicle.mdl Vehicle control via simple Mamdani FLC(Requires VdataM,VdataF) · Mamdani9Vehicle.mdl Vehicle control via 9 rule Mamdani FLC(Requires VdataM,VdataF) · Mamdani25Vehicle.mdl Vehicle control via 25 rule Mamdani FLC(Requires VdataM,VdataF25) · OptimalVehicle.mdl Vehicle control via simple LQ alg(Requires VdataM,VdataC)

可以求取一维信号的模糊熵,比如心电信号就可以用这个程序来做模糊熵；另外一个是得出混淆矩阵(The fuzzy entropy of one dimensional signal can be obtained.For example, ECG signal can be used to do fuzzy entropy with this program.The other is to get the obfuscation matrix)

for SUN workstations, running Solaris

PIANO CREATED simple piano in C programming language

和MATLAB的其他组件相比，Simulink的一个突出特点就是它完全支持图形用户界面，这样就极大地方便了用户的操作方法。在MATLAB2009中，可以直接在Simulink环境中运行时的工具包很多，包括通信、控制、信号、电力等各个领域，所涉及的内容也比较广泛和专业。(And MATLAB other components, compared to a prominent characteristics of Simulink is it fully supports the graphical user interface, this great show where the user operation methods. In MATLAB2009, can be directly in Simulink environment operation toolkit many, including the communication, control, signal, electric power and other areas, involved the content is more extensive and professional.)

Sheffield工具箱的简单例子，有作者修改，其中doc文件为介绍(the example of Sheffield GA)

battery charger program for chrarger development

　计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸 特征提取方法。(Computer Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method.)

系统动力学的应用，对研究轨道系统的动力学很重要(dynamic analysis)